ABSTRACT: In the last decade, the fields of human computer interaction (HCI) and human factors (HF) recognized that emotional reactions are central to experiences with technology. Over and above accurate and efficient and effective task completion, technology enables us to reflect, to play and to make meaning. Yet, we do not have a standardized or well-accepted way to assess how technology makes us feel. One of the key contributions of my dissertation is to deepen our understanding of how emotions change as an interaction experience unfolds, how to measure such emotions, and what patterns exist. The aim of this presentation is to present accessible, easy-to-use, and low-cost ways to measure emotion (sliders and skin conductance), and to explain how to analyze this data for valuable insights such as expressiveness and immersion. I will present examples of emotion measurement across cultures (Canadian and Japanese) and domains (entertainment vs. eHealth).

BIO: Danielle Lottridge received her PhD in Human Factors (Industrial Engineering) from the Interactive Media Lab at the University of Toronto. Her dissertation studied tools to collect continuous reports of emotion. Throughout her graduate career, she engaged in many exciting collaborative projects such as participatory design for long distance couples, socio-technical theory insights for creativity, transdisciplinary models for interaction design, and audience responses to augmented dance performances. Her research interests are: emotion, design research, design methods, usability, interdisciplinarity and health metrics.

Danielle's masters was also in Human Factors and focused on individual differences and cell phone use while driving. She holds a BSc. Hons with Distinction, with a specialist in human-computer interaction and a minor in psychology.

Danielle's next step is to start a postdoc at Stanford with Professor Cliff Nass on the topic of multitasking. Danielle obtained a Google Research Award to fund this work.